Rishabh Shah.
Software Engineer & ML Researcher. I build scalable backend systems, ML pipelines, and research-grade computer vision.
Latest
CseGraph
Published
3 papers
Focus
Backend · Computer Vision · MLOps
Scroll depth
herocontact
01 · Selected Work
Projects
Research-grade systems and production platforms. Click any card for the full case study.
02 · Published Research
Publications
3 peer-reviewed papers across computer vision, generative modeling, and IoT systems. Click any paper to read the full abstract.
03 · Experience
Where I've worked
Recent internships, shipped features, and measurable impact.
Software Engineering Intern
-Aaditya Technologies · Mumbai, India
Stack
PythonNext.jsMySQLDockerAWSJWTRBAC
- ▸Developed service-oriented backend modules using Python, Next.js, and MySQL for authentication, authorization, business workflows, and reporting across internal and client-facing systems.
- ▸Implemented JWT-based authentication and RBAC middleware for admin, staff, and client-user roles, securing protected API routes and centralizing authorization checks across backend workflows.
- ▸Optimized dashboard, listing, search, and reporting APIs by indexing database columns, rewriting SQL queries, adding pagination, trimming response payloads, and batching recurring calls, reducing average response time by 22%.
- ▸Containerized backend services with Docker and supported AWS EC2-hosted environments with S3-backed storage by configuring environment variables, debugging logs, and standardizing deployment steps, lowering setup effort by 65%.
Web Developer Intern
-Creative Line · Mumbai, India
Stack
ReactNext.jsMySQLTypeScript
- ▸Built React/Next.js interfaces for dashboard views, data management pages, and form-based CRUD flows using reusable tables, forms, modals, filters, and pagination controls.
- ▸Refactored page-level UI and request-handling logic into 7 shared components across 3 feature areas, shrinking individual feature file size by 70% and improving maintainability.
- ▸Improved MySQL-backed Next.js API routes with parameterized queries, input validation, indexing, connection pooling, and smaller payloads, bringing P95 latency for targeted data-loading paths from 3100ms to 420ms.
04 · Skills & Stack
Tooling I reach for
48 technologies across 5 disciplines. Each row drifts continuously. Hover to freeze, hover a tile for its brand glow.
01
Languages
7 tools
PythonJavaC++CTypeScriptJavaScriptSQLPythonJavaC++CTypeScriptJavaScriptSQL
02
Frameworks & Tools
17 tools
DjangoDjango ORMNext.jsReactREST APIsJWT AuthOAuth2RBACZodTailwind CSSHTMLCSSDockerGitGitHubGitHub ActionsLinuxDjangoDjango ORMNext.jsReactREST APIsJWT AuthOAuth2RBACZodTailwind CSSHTMLCSSDockerGitGitHubGitHub ActionsLinux
03
Databases & Cloud
13 tools
PostgreSQLMySQLMongoDBSQLiteRedisPrismaAWSAWS EC2AWS S3AzureGCPGoogle Cloud RunVercelPostgreSQLMySQLMongoDBSQLiteRedisPrismaAWSAWS EC2AWS S3AzureGCPGoogle Cloud RunVercel
04
Testing
6 tools
PytestunittestVitestPlaywrightReact Testing LibraryPostmanPytestunittestVitestPlaywrightReact Testing LibraryPostmanPytestunittestVitestPlaywrightReact Testing LibraryPostman
05
AI/ML
5 tools
TensorFlowPyTorchScikit-learnOpenCVYOLOTensorFlowPyTorchScikit-learnOpenCVYOLOTensorFlowPyTorchScikit-learnOpenCVYOLO
06 · Education
Academic history
Rutgers University - New Brunswick
-M.S. in Computer Science
New Brunswick, NJ
GPA 3.83 / 4.0
University of Mumbai
-B.Tech. in Artificial Intelligence & Data Science
Mumbai, India
GPA 7.76 / 10.0
Academic arc
Current program
M.S. in Computer Science
Rutgers University - New Brunswick · GPA 3.83 / 4.0
Undergraduate foundation
B.Tech. in Artificial Intelligence & Data Science
University of Mumbai · GPA 7.76 / 10.0
Academic path
AI & Data Science to Computer Science
Mumbai, India to New Brunswick, NJ
05 · About
A longer read
“Building at the intersection of engineering and intelligence.”
M.S. Computer Science student at Rutgers University building scalable backend systems, AI-enabled full-stack products, and research-grade computer vision pipelines.
My work spans backend services (Python, Django, Next.js), ML research (generative models and computer vision), and MLOps pipelines that take experiments to reliable production systems. Three peer-reviewed papers so far, covering synthetic financial data, intelligent traffic surveillance, and IoT voice assistants.
Latest build
CseGraph
Local-first code context engine and developer tooling: CLI, MCP server, SDK, SQLite graph index, and VS Code wrapper for coding agents.
Research record
3 peer-reviewed papers
Featured: Bridging Financial Data Gaps with WGAN-GP: Generating Synthetic Time Series for Robust Models
Current base
New Brunswick, NJ
Open to SWE, systems, AI/ML, full-time, and internship roles.
07 · Contact
Get in touch
Open to SWE, systems, and ML/AI opportunities. Feel free to reach out.